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Previous reports of improved oral reading performance for dyslexic children but not for regular readers when between-letter spacing was enlarged led to the proposal of a dyslexia-specific deficit in visual crowding. However, it is in this context also critical to understand how letter spacing affects visual word recognition and reading in unimpaired readers. Adopting an individual differences approach, the present study, accordingly, examined whether wider letter spacing improves reading performance also for non-impaired adults during silent reading and whether there is an association between letter spacing and crowding sensitivity. We report eye movement data of 24 German students who silently read texts presented either with normal or wider letter spacing. Foveal and parafoveal crowding sensitivity were estimated using two independent tests. Wider spacing reduced first fixation durations, gaze durations, and total fixation time for all participants, with slower readers showing stronger effects. However, wider letter spacing also reduced skipping probabilities and elicited more fixations, especially for faster readers. In terms of words read per minute, wider letter spacing did not provide a benefit, and faster readers in particular were slowed down. Neither foveal nor parafoveal crowding sensitivity correlated with the observed letter-spacing effects. In conclusion, wide letter spacing reduces single word processing time in typically developed readers during silent reading, but affects reading rates negatively since more words must be fixated. We tentatively propose that wider letter spacing reinforces serial letter processing in slower readers, but disrupts parallel processing of letter chunks in faster readers. These effects of letter spacing do not seem to be mediated by individual differences in crowding sensitivity.
Organized running events have gained substantial popularity. This study aimed to elucidate the prevalence of musculoskeletal pain, knowledge about injury prevention as well as the attitudes and motivations of individuals participating in the JP Morgan Corporate Challenge in Frankfurt (Germany). A total of 720 recreational runners completed a digital questionnaire immediately prior to the start. The majority of them displayed low to moderate physical activity levels and were rather unambitious regarding targeted finishing time. One quarter (25.3%) participated for the first time in an organized race. The most stated reasons to register were team building (76.4%) and experiencing the run’s atmosphere (50.6%). In contrast, improving health played a minor role (19.4%). More than one in five individuals (n = 159 runners) reported pain, with the most common locations being the knee and lower back. Both at rest (3.2/10 on a numerical rating scale) and during activity (4.7/10), average pain intensity was clinically relevant. Almost three thirds of the participants believed that stretching and wearing appropriate shoes would be effective for injury prevention while other methods such as resistance training, balance exercise or wearing of orthoses were rarely named. Musculoskeletal pain is a significant burden in runners participating in an urban mass event. In view of the poor knowledge about injury prevention, organizers and coaches may consider offering structured preparation programs as well as tailored running-related health education.
Using photo elicitation to introduce a network perspective on attachment during middle childhood
(2018)
In this article, we develop a child-centered network approach to attachment during middle childhood. Following monotropic ideas, current attachment research focuses on parental attachment figures despite the expansion of the children’s social environment during middle childhood, failing to generate a comprehensive and structured overview of all individuals who ensure the children’s feeling of safety. Relying on quantitative methods, these studies are also dominated by an adult perspective, limiting the children’s contributions. While there have been theoretical drafts of attachment networks during childhood, this article constitutes the first practical implementation. Using photo elicitation interviews and participant observations, we developed an innovative assessment strategy that allows children to exhaustively identify and characterize all their attachment figures on sociostructural and functional dimensions, thus positioning the children at the center of their comprehensive attachment networks that collectively contribute to their feeling of security. We combine qualitative and quantitative data to assess the children’s own understanding of their feeling of security and to locate the individual attachment figure on context-specific social dimensions, thus making the research setting, a clan in Cameroon, an inherent part of the methodological development. The data are translated into multidimensional network diagrams to visualize the children’s perception of their attachment environment and the emerging patterns of their selection. We present an exemplary network, supplementing it with observational data to discuss the ecological validity of our approach.
During dynamic ultrasound assessments, unintended transducer movement over the skin needs to be prevented as it may bias the results. The present study investigated the validity of two methods quantifying transducer motion. An ultrasound transducer was moved on a pre-specified 3 cm distance over the semitendinosus muscle of eleven adults (35.8 ± 9.8 years), stopping briefly at intervals of 0.5 cm. Transducer motion was quantified (1) measuring the 2-D displacement of the shadow produced by reflective tape (RT) attached to the skin and (2) using a marker-based, three-dimensional movement analysis system (MAS). Differences between methods were detected with Wilcoxon tests; associations were checked by means of intraclass correlation coefficients (ICC 3.1) and Bland–Altman plots. Values for RT (r = 0.57, p < 0.001) and MAS (r = 0.19, p = 0.002) were significantly higher than true distances (TD). Strong correlations were found between RT and TD (ICC: 0.98, p < 0.001), MAS and TD (ICC: 0.95, p < 0.001), and MAS and RT (ICC: 0.97, p < 0.001). Bland–Altman plots showed narrow limits of agreement for both RT (−0.49 to 0.13 cm) and MAS (−0.49 to 0.34 cm) versus TD. RT and MAS are valid methods to quantify US transducer movement. In view of its low costs and complexity, RT can particularly be recommended for application in research and clinical practice. View Full-Text
Keywords: ultrasound; reflective tape; transducer movement
We propose that resilience effectively helps people cope with stress, thus predominantly reducing the negative. However, we argue that individuals’ social identification has the potential to contribute to their well-being, thus fostering the positive. A two-wave survey study of 180 students shows that resilience is more strongly (negatively) associated with ill-health (i.e. stress and depression), whereas social identification is more strongly (positively) related to well-being (i.e. satisfaction and work engagement). We believe that it is necessary to see these two routes to improving people’s health as complementary, both in future research and for therapy and interventions.
Background: Abnormalities of heart rate (HR) and its variability are characteristic of major depressive disorder (MDD). However, circadian rhythm is rarely taken into account when statistically exploring state or trait markers for depression. Methods: A 4-day electrocardiogram was recorded for 16 treatment-resistant patients with MDD and 16 age- and sex-matched controls before, and for the patient group only, after a single treatment with the rapid-acting antidepressant ketamine or placebo (clinical trial registration available on https://www.clinicaltrialsregister.eu/ with EUDRACT number 2016-001715-21). Circadian rhythm differences of HR and the root mean square of successive differences (RMSSD) were compared between groups and were explored for classification purposes. Baseline HR/RMSSD were tested as predictors for treatment response, and physiological measures were assessed as state markers. Results: Patients showed higher HR and lower RMSSD alongside marked reductions in HR amplitude and RMSSD variation throughout the day. Excellent classification accuracy was achieved using HR during the night, particularly between 2 and 3 a.m. (90.6%). A positive association between baseline HR and treatment response (r = 0.55, p = 0.046) pointed toward better treatment outcome in patients with higher HR. Heart rate also decreased significantly following treatment but was not associated with improved mood after a single infusion of ketamine. Limitations: Our study had a limited sample size, and patients were treated with concomitant antidepressant medication. Conclusion: Patients with depression show a markedly reduced amplitude for HR and dysregulated RMSSD fluctuation. Higher HR and lower RMSSD in depression remain intact throughout a 24-h day, with the highest classification accuracy during the night. Baseline HR levels show potential for treatment response prediction but did not show potential as state markers in this study.
Treatment outcomes of a CBT-based group intervention for adolescents with internet use disorders
(2021)
Background and aims: Instances of Internet use disorders (IUD) including Internet gaming disorder (IGD) and non-gaming pathological Internet use (ng-PIU) have the extent that they are now a growing mental health issue. Individuals suffering from IUD show a large range of symptoms, high comorbidities and impairments in different areas of life. To date there is a lack of efficient and evidence-based treatment programs for such adolescents. The present registered single-arm trial (ClinicalTrials.gov: NCT03582839) aimed to investigate the long-term effects of a brief manualized cognitive behavioral therapy (CBT) program for adolescents with IUD. Methods: N = 54 patients (16.7% female), aged 9–19 years (M = 13.48, SD = 1.72) received the CBT group program PROTECT+. IUD symptom severity (primary outcome variable) as well as comorbid symptoms, risk-related variables and potentially protective skills (secondary outcome variables) were assessed at pretest, posttest, as well as 4 and 12 months after admission. Results: Patients showed a significant reduction in IUD symptom severity at the 12-month follow-up. Effect sizes were medium to large depending on the measure. Beyond the statistical significance, the clinical significance was confirmed using the reliable change index. Secondary outcome variables showed a significant reduction in self-reported depression, social anxiety, performance anxiety and school anxiety as well as in parental-reported general psychopathology. Discussion and conclusions: The present study shows long-term effects of a manual-based CBT treatment for adolescents suffering from IUD. The results indicate that even a 4-session brief intervention can achieve a medium to large effect over 12 months. Future work is needed to confirm the efficacy within a randomized controlled trial (RCT).
The ecological validity of neuropsychological testing (NT) has been questioned in the sports environment. A frequent criticism is that NT, mostly consisting of pen and paper or digital assessments, lacks relevant bodily movement. This study aimed to identify the determinants of a newly developed testing battery integrating both cognitive and motor demands. Twenty active individuals (25 ± 3 years, 11 males) completed the new motor-cognitive testing battery (MC), traditional NT (Stroop test, Trail Making test, Digit Span test) and isolated assessments of motor function (MF; Y-balance test, 20m-sprint, counter-movement jump). Kendal’s tau and partial Spearman correlations were used to detect associations between MC and NT/MF. Except for two items (Reactive Agility A and counter-movement jump; Run-Decide and sprint time; r = 0.37, p < 0.05), MC was not related to MF. Similarly, MC and NT were mostly unrelated, even when controlling for the two significant motor covariates (p > 0.05). The only MC item with (weak to moderate) associations to NT was the Memory Span test (Digit Span backwards and composite; r = 0.43–0.54, p < 0.05). In sum, motor-cognitive function appears to be largely independent from its two assumed components NT and MF and may represent a new parameter in performance diagnostics.
How is semantic information stored in the human mind and brain? Some philosophers and cognitive scientists argue for vectorial representations of concepts, where the meaning of a word is represented as its position in a high-dimensional neural state space. At the intersection of natural language processing and artificial intelligence, a class of very successful distributional word vector models has developed that can account for classic EEG findings of language, that is, the ease versus difficulty of integrating a word with its sentence context. However, models of semantics have to account not only for context-based word processing, but should also describe how word meaning is represented. Here, we investigate whether distributional vector representations of word meaning can model brain activity induced by words presented without context. Using EEG activity (event-related brain potentials) collected while participants in two experiments (English and German) read isolated words, we encoded and decoded word vectors taken from the family of prediction-based Word2vec algorithms. We found that, first, the position of a word in vector space allows the prediction of the pattern of corresponding neural activity over time, in particular during a time window of 300 to 500 ms after word onset. Second, distributional models perform better than a human-created taxonomic baseline model (WordNet), and this holds for several distinct vector-based models. Third, multiple latent semantic dimensions of word meaning can be decoded from brain activity. Combined, these results suggest that empiricist, prediction-based vectorial representations of meaning are a viable candidate for the representational architecture of human semantic knowledge.
Objects that are semantically related to the visual scene context are typically better recognized than unrelated objects. While context effects on object recognition are well studied, the question which particular visual information of an object’s surroundings modulates its semantic processing is still unresolved. Typically, one would expect contextual influences to arise from high-level, semantic components of a scene but what if even low-level features could modulate object processing? Here, we generated seemingly meaningless textures of real-world scenes, which preserved similar summary statistics but discarded spatial layout information. In Experiment 1, participants categorized such textures better than colour controls that lacked higher-order scene statistics while original scenes resulted in the highest performance. In Experiment 2, participants recognized briefly presented consistent objects on scenes significantly better than inconsistent objects, whereas on textures, consistent objects were recognized only slightly more accurately. In Experiment 3, we recorded event-related potentials and observed a pronounced mid-central negativity in the N300/N400 time windows for inconsistent relative to consistent objects on scenes. Critically, inconsistent objects on textures also triggered N300/N400 effects with a comparable time course, though less pronounced. Our results suggest that a scene’s low-level features contribute to the effective processing of objects in complex real-world environments.